100% OUTPUT AND QUALITY ASSURANCE                                        FINAL YEAR PROJECTS ON AUDIO PROCESSING

100% PRACTICAL TRAINING ON ALL DOMAINS

TECHNOLOGY : MATLAB

               Audio Processing

Matlab Audio Processing Project Titles

Speech processing is the study of speech signals and the processing methods of these signals The signals are usually processed in a digital representation, so speech processing can be regarded as a special case of digital signal processing, applied to speech signal It is also closely tied to natural language processing (NLP), as its input can come from / output can go to NLP applications

               Applications

Speech recognition, which deals with analysis of the linguistic content of a speech signal Speaker recognition, where the aim is to recognize the identity of the speaker Speech coding, a specialized form of data compression, is important in the telecommunication area Voice analysis for medical purposes, such as analysis of vocal loading and dysfunction of the vocal cords Speech synthesis: the artificial synthesis of speech, which usually means computer-generated speech Speech enhancement: enhancing the intelligibility and/or perceptual quality of a speech signal, like audio noise reduction for audio signals

                Project Titles

Environmental Sound Recognition With Time–Frequency Audio Features Robust Multiplicative Patchwork Method for Audio Watermarking Temporal Integration for Audio Classification With Application to Musical Instrument Classification Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation Enhanced Speech Features by Single-Channel Joint Compensation of Noise and Reverberation Audio Fingerprinting Based on Multiple Hashing in DCT Domain Approaches to Iterative Speech Feature Enhancement and Recognition An Ensemble Speaker and Speaking Environment Modeling Approach to Robust Speech Recognition Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition Enhanced Speech Features by Single-Channel Joint Compensation of Noise and Reverberation Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation

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